Cyber Resume Sender 99

An AI automated resume submission tool that combines ChatGPT with RPA technology to achieve a one-click, fully automated workflow: searching for jobs, generating cover letters based on your resume and the job description, and sending them to HR.
This is a completely free script; you only need to configure your own OpenAI API. I'd really appreciate it if you could give me a star. If this script can bring you some help and a little warmth during this cold hiring season, it would be my honor. I hope no one takes my script and uses it to scam others—anyone who's been pushed to the point of using a script like this to send out resumes clearly doesn't have much left to squeeze. Have some humanity.

Cyber Resume Submitter Project URL:https://github.com/Frrrrrrrrank/auto_job__find__chatgpt__rpa/tree/master

Cyber Resume Submitter Features:

GPT automatically submits 100 positions, optimizing your self-introduction during submission based on your resume content and the employer's job requirements, and generating sincere cover letters to send to HR. The goal is to prompt them to request your resume and move forward with further communication.

Boss Zhipin Test Results:

Yesterday, the daily submission limit was reached at 100. Today, we've already received 30+ positive responses from HR, with an effective HR reply rate of around 30%. GPT-3.5 cost approximately $0.9 in tokens.

Given the current economic and job market situation, I hope this brings everyone a little warmth.

Cyber Resume Submitter Extensions:

You could actually think about extending this functionality to overseas platforms like LinkedIn and Glassdoor. It's well-suited for mass submissions. The same approach can also be applied to other industries—for example, sending startup BPs to investor emails.

How to Use Cyber Resume Submitter:

First, configure your OpenAI API. Then upload your PDF resume to the folder auto_job_find and name it "my_cover". After that, run write_response.py. It will automatically create an OpenAI Assistant and generate a local .json file. This file is only created the first time you run the script; on subsequent runs, if it detects the existing json, it will call the previously created Assistant.